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A scene video restoration apparatus based on front-end object detection

A target detection and video technology, applied in the field of image transmission, can solve problems such as information loss, unreliable image transmission methods, static target separation, etc., to prevent data loss, save data storage space, and reduce bandwidth.

Active Publication Date: 2018-12-18
一石数字技术成都有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above method can save at least 1 / 3 of the transmission bandwidth and data volume through experiments. However, this method cannot separate static objects, that is, some static objects will be used as backgrounds, and some static objects will be covered during synthesis, resulting in Information loss, which is an unreliable method of image transmission

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  • A scene video restoration apparatus based on front-end object detection
  • A scene video restoration apparatus based on front-end object detection

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Embodiment Construction

[0031] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0032] Any feature disclosed in this specification (including any appended claims, abstract), unless otherwise stated, may be replaced by alternative features that are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0033] For the images captured by the same image acquisition device (common camera), the background image remains unchanged in most cases, and it takes up most of the space on the screen. If each frame of video image is transfer, the transfer of most of the data volume for the background image is an inefficient workload. However, the existing scheme that distinguishes the dynamic area from the background area and then transmits them separately, regards all static ob...

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Abstract

The invention discloses a scene video restoration device based on front-end object detection, comprising an object detection module, a frame sampling adjustment module and an image synthesis module. The object detection module is used for respectively detecting the object of each frame of an input video stream and sending the detected object data to the image synthesis module. The frame sampling adjusting module is used for extracting the background image from the input video stream and sending the background image and the attribute information corresponding to the background image to the image synthesizing module, and adjusting the rule of extracting background image; The image synthesizing module is used for synthesizing the target image and the background image to obtain the restored video stream. This design can ensure the accurate restoration of scene video, greatly reduce the bandwidth required to transmit images, and effectively save data storage space. In particular, this design can accurately identify and extract specific objects in the scene, in order to achieve accurate reproduction of scene details.

Description

technical field [0001] The invention relates to the field of image transmission, in particular to a scene video restoration device based on front-end target detection. Background technique [0002] As the basis of scene restoration, image transmission has been widely used in security, monitoring, tracking and other fields. However, in order to ensure the authenticity of the restoration of the scene, the traditional image transmission often transmits each frame of video image to the receiving end. A substantial increase. [0003] There is an existing image transmission method that can build data transmission bandwidth and data transmission volume to a certain extent. It usually detects and separates static objects and dynamic objects in video frames. During transmission, only the dynamic foreground part Pass it to the background, and then synthesize the static background and the dynamic foreground in the background to generate a composite image. When doing dynamic detection...

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Application Information

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IPC IPC(8): H04N7/18H04N5/262G06K9/00
CPCH04N5/262H04N7/18G06V20/52
Inventor 卢荣新王泽民李珉施国鹏
Owner 一石数字技术成都有限公司
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